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This dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.

Participants

45

HED

v8.4.0

Size

2.08 GB

Version

v1.0.1

Updated

Jun 23, 2026

This dataset contains raw EEG data from a study investigating real-time, personalized brain state-dependent transcranial magnetic stimulation (TMS) in healthy adults. The research demonstrates that personalized whole-brain activity patterns can predict human corticospinal tract activation in real-time, with potential applications for brain stimulation therapies. Data includes EEG recordings collected during TMS-guided brain state-dependent stimulation protocols, where TMS serves as the intervention guided by real-time EEG decoding.

Participants

19

Citations

12

Size

88.1 GB

Version

v1.0.0

Updated

Jun 18, 2026

This dataset comprises intracranial EEG recordings from five patients undergoing single-pulse electrical stimulation of temporal and limbic circuitry at Mayo Clinic. The study investigates Basis Profile Curve identification and distinct neural responses evoked in human ventral temporal cortex through direct brain stimulation, providing insights into functional connectivity and processing speed within the human connectome.

Participants

5

Citations

15

Size

11.4 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains neuroimaging recordings from 29 participants investigating human brain responses to nociceptive stimulation. The study examines neural activity patterns during concomitant stimulation of Aδ and C nociceptors, contributing to understanding of pain processing mechanisms in the human brain.

Participants

29

Size

24.0 GB

Version

v1.0.0

Updated

Jun 18, 2026

This dataset comprises electroencephalography (EEG) signals acquired from 10 naive participants using a low-cost consumer-grade EEG device during a motor imagery brain-computer interface protocol. Participants performed kinesthetic imagination of dominant-hand grasping movements and rest conditions across five protocol runs, with electromyography (EMG) recorded from the dominant hand for protocol validation. EEG signals were bandpass-filtered between 0.5 and 45 Hz using a 3rd-order Butterworth filter at a sampling rate of 125 Hz.

Participants

10

Size

69.3 MB

Version

v1.0.2

Updated

Jun 4, 2026

Imported from OpenNeuro ds003194

Participants

15

Size

189 MB

Version

v1.0.0

Updated

May 23, 2026

This dataset contains electroencephalogram (EEG) recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).

Participants

18

Size

2.38 GB

Version

v1.0.0

Updated

Jun 21, 2026

This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.

Participants

25

Citations

2

Size

97.5 GB

Version

v1.0.0

Updated

Jun 22, 2026

This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.

Participants

10

Size

8.52 GB

Version

v1.0.0

Updated

Jun 21, 2026

This dataset comprises EEG recordings and behavioral data from 120 neurologically healthy adults who completed an emotion processing and regulation task during transcranial direct current stimulation (tDCS). Participants underwent two counterbalanced sessions (sham and active stimulation) while viewing static emotional images and performing either passive viewing or cognitive reappraisal. Stimulation was targeted to the dorsolateral prefrontal cortex using two between-subject alternative montages: left dlPFC (anode at F3) or right dlPFC (anode at F4). The study investigates how targeted neuromodulation of the dlPFC modulates affective response evaluation in individuals experiencing loneliness. This is a BIDS-formatted dataset derived from OpenNeuro (ds006861).

Participants

120

Size

53.6 GB

Version

v1.0.0

Updated

Jun 29, 2026